xlm-mlm-100-1280 / config.json
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{
"accumulate_gradients": 4,
"ae_steps": [],
"amp": 2,
"architectures": [
"XLMWithLMHeadModel"
],
"asm": false,
"attention_dropout": 0.1,
"batch_size": 16,
"beam_size": 1,
"bos_index": 0,
"bos_token_id": 0,
"bptt": 256,
"bt_src_langs": [],
"bt_steps": [],
"causal": false,
"clip_grad_norm": 1.0,
"clm_steps": [],
"command": "python /private/home/aconneau/workdir/xlm_17_100_big.3/2019_08_10_19_23_42/train.py --n_heads 16 --bt_steps '' --max_vocab 200000 --word_mask_keep_rand '0.8,0.1,0.1' --use_lang_emb false --data_path '/private/home/aconneau/projects/XLM/data/wiki/100/175k' --save_periodic 0 --max_len 200 --bptt 256 --ae_steps '' --fp16 true --share_inout_emb true --sinusoidal_embeddings false --word_shuffle 0 --tokens_per_batch '-1' --accumulate_gradients 4 --validation_metrics '_valid_en_mlm_ppl,_valid_mlm_ppl,_valid_zh_mlm_ppl' --attention_dropout '0.1' --split_data true --max_epoch 100000 --stopping_criterion '_valid_zh_mlm_ppl,25' --dump_path '/checkpoint/aconneau/dumped' --epoch_size 200000 --word_blank 0 --gelu_activation true --n_layers 16 --optimizer 'adam_inverse_sqrt,lr=0.00005,warmup_updates=30000,beta1=0.9,beta2=0.999,weight_decay=0.01,eps=0.000001' --mlm_steps 'en,es,fr,de,zh,ru,pt,it,ar,ja,id,tr,nl,pl,simple,fa,vi,sv,ko,he,ro,no,hi,uk,cs,fi,hu,th,da,ca,el,bg,sr,ms,bn,hr,sl,zh_yue,az,sk,eo,ta,sh,lt,et,ml,la,bs,sq,arz,af,ka,mr,eu,tl,ang,gl,nn,ur,kk,be,hy,te,lv,mk,zh_classical,als,is,wuu,my,sco,mn,ceb,ast,cy,kn,br,an,gu,bar,uz,lb,ne,si,war,jv,ga,zh_min_nan,oc,ku,sw,nds,ckb,ia,yi,fy,scn,gan,tt,am' --eval_bleu false --dropout '0.1' --mt_steps '' --batch_size 16 --word_dropout 0 --reload_model '/checkpoint/aconneau/dumped/xlm_17_100_240_big_model_upper.2/14884511/best-valid_zh_mlm_ppl.pth' --min_count 0 --amp 2 --group_by_size true --asm false --sample_alpha '0.5' --word_pred '0.15' --clip_grad_norm 1 --emb_dim 1280 --encoder_only true --lgs 'en-es-fr-de-zh-ru-pt-it-ar-ja-id-tr-nl-pl-simple-fa-vi-sv-ko-he-ro-no-hi-uk-cs-fi-hu-th-da-ca-el-bg-sr-ms-bn-hr-sl-zh_yue-az-sk-eo-ta-sh-lt-et-ml-la-bs-sq-arz-af-ka-mr-eu-tl-ang-gl-nn-ur-kk-be-hy-te-lv-mk-zh_classical-als-is-wuu-my-sco-mn-ceb-ast-cy-kn-br-an-gu-bar-uz-lb-ne-si-war-jv-ga-zh_min_nan-oc-ku-sw-nds-ckb-ia-yi-fy-scn-gan-tt-am' --clm_steps '' --exp_name 'xlm_17_100_big.3' --lg_sampling_factor '0.7' --eval_only false --exp_id 16656234 --master_port 11363 --exp_id \"16656234\"",
"context_size": 0,
"data_path": "/private/home/aconneau/projects/XLM/data/wiki/100/175k",
"debug": false,
"debug_slurm": false,
"debug_train": false,
"dropout": 0.1,
"dump_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656234",
"emb_dim": 1280,
"embed_init_std": 0.02209708691207961,
"encoder_only": true,
"end_n_top": 5,
"eos_index": 1,
"epoch_size": 200000,
"eval_bleu": false,
"eval_only": false,
"exp_id": "16656234",
"exp_name": "xlm_17_100_big.3",
"fp16": true,
"gelu_activation": true,
"global_rank": 0,
"group_by_size": true,
"hyp_path": "/checkpoint/aconneau/dumped/xlm_17_100_big.3/16656234/hypotheses",
"id2lang": {
"0": "af",
"1": "als",
"10": "be",
"11": "bg",
"12": "bn",
"13": "br",
"14": "bs",
"15": "ca",
"16": "ceb",
"17": "ckb",
"18": "cs",
"19": "cy",
"2": "am",
"20": "da",
"21": "de",
"22": "el",
"23": "en",
"24": "eo",
"25": "es",
"26": "et",
"27": "eu",
"28": "fa",
"29": "fi",
"3": "an",
"30": "fr",
"31": "fy",
"32": "ga",
"33": "gan",
"34": "gl",
"35": "gu",
"36": "he",
"37": "hi",
"38": "hr",
"39": "hu",
"4": "ang",
"40": "hy",
"41": "ia",
"42": "id",
"43": "is",
"44": "it",
"45": "ja",
"46": "jv",
"47": "ka",
"48": "kk",
"49": "kn",
"5": "ar",
"50": "ko",
"51": "ku",
"52": "la",
"53": "lb",
"54": "lt",
"55": "lv",
"56": "mk",
"57": "ml",
"58": "mn",
"59": "mr",
"6": "arz",
"60": "ms",
"61": "my",
"62": "nds",
"63": "ne",
"64": "nl",
"65": "nn",
"66": "no",
"67": "oc",
"68": "pl",
"69": "pt",
"7": "ast",
"70": "ro",
"71": "ru",
"72": "scn",
"73": "sco",
"74": "sh",
"75": "si",
"76": "simple",
"77": "sk",
"78": "sl",
"79": "sq",
"8": "az",
"80": "sr",
"81": "sv",
"82": "sw",
"83": "ta",
"84": "te",
"85": "th",
"86": "tl",
"87": "tr",
"88": "tt",
"89": "uk",
"9": "bar",
"90": "ur",
"91": "uz",
"92": "vi",
"93": "war",
"94": "wuu",
"95": "yi",
"96": "zh",
"97": "zh_classical",
"98": "zh_min_nan",
"99": "zh_yue"
},
"init_std": 0.02,
"is_encoder": true,
"is_master": true,
"is_slurm_job": true,
"lambda_ae": 1.0,
"lambda_ae_config": null,
"lambda_bt": 1.0,
"lambda_bt_config": null,
"lambda_clm": 1.0,
"lambda_clm_config": null,
"lambda_mlm": 1.0,
"lambda_mlm_config": null,
"lambda_mt": 1.0,
"lambda_mt_config": null,
"lambda_pc": 1.0,
"lambda_pc_config": null,
"lang2id": {
"af": 0,
"als": 1,
"am": 2,
"an": 3,
"ang": 4,
"ar": 5,
"arz": 6,
"ast": 7,
"az": 8,
"bar": 9,
"be": 10,
"bg": 11,
"bn": 12,
"br": 13,
"bs": 14,
"ca": 15,
"ceb": 16,
"ckb": 17,
"cs": 18,
"cy": 19,
"da": 20,
"de": 21,
"el": 22,
"en": 23,
"eo": 24,
"es": 25,
"et": 26,
"eu": 27,
"fa": 28,
"fi": 29,
"fr": 30,
"fy": 31,
"ga": 32,
"gan": 33,
"gl": 34,
"gu": 35,
"he": 36,
"hi": 37,
"hr": 38,
"hu": 39,
"hy": 40,
"ia": 41,
"id": 42,
"is": 43,
"it": 44,
"ja": 45,
"jv": 46,
"ka": 47,
"kk": 48,
"kn": 49,
"ko": 50,
"ku": 51,
"la": 52,
"lb": 53,
"lt": 54,
"lv": 55,
"mk": 56,
"ml": 57,
"mn": 58,
"mr": 59,
"ms": 60,
"my": 61,
"nds": 62,
"ne": 63,
"nl": 64,
"nn": 65,
"no": 66,
"oc": 67,
"pl": 68,
"pt": 69,
"ro": 70,
"ru": 71,
"scn": 72,
"sco": 73,
"sh": 74,
"si": 75,
"simple": 76,
"sk": 77,
"sl": 78,
"sq": 79,
"sr": 80,
"sv": 81,
"sw": 82,
"ta": 83,
"te": 84,
"th": 85,
"tl": 86,
"tr": 87,
"tt": 88,
"uk": 89,
"ur": 90,
"uz": 91,
"vi": 92,
"war": 93,
"wuu": 94,
"yi": 95,
"zh": 96,
"zh_classical": 97,
"zh_min_nan": 98,
"zh_yue": 99
},
"lang_id": 0,
"langs": [
"en",
"es",
"fr",
"de",
"zh",
"ru",
"pt",
"it",
"ar",
"ja",
"id",
"tr",
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"zh_classical",
"als",
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"wuu",
"my",
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"ceb",
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"cy",
"kn",
"br",
"an",
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"bar",
"uz",
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"jv",
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"zh_min_nan",
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"ku",
"sw",
"nds",
"ckb",
"ia",
"yi",
"fy",
"scn",
"gan",
"tt",
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],
"layer_norm_eps": 1e-12,
"lg_sampling_factor": 0.7,
"lgs": "en-es-fr-de-zh-ru-pt-it-ar-ja-id-tr-nl-pl-simple-fa-vi-sv-ko-he-ro-no-hi-uk-cs-fi-hu-th-da-ca-el-bg-sr-ms-bn-hr-sl-zh_yue-az-sk-eo-ta-sh-lt-et-ml-la-bs-sq-arz-af-ka-mr-eu-tl-ang-gl-nn-ur-kk-be-hy-te-lv-mk-zh_classical-als-is-wuu-my-sco-mn-ceb-ast-cy-kn-br-an-gu-bar-uz-lb-ne-si-war-jv-ga-zh_min_nan-oc-ku-sw-nds-ckb-ia-yi-fy-scn-gan-tt-am",
"local_rank": 0,
"mask_index": 5,
"mask_token_id": 0,
"master_addr": "learnfair0332",
"master_port": 11363,
"max_batch_size": 0,
"max_epoch": 100000,
"max_len": 200,
"max_position_embeddings": 512,
"max_vocab": 200000,
"min_count": 0,
"mlm_steps": [
[
"en",
null
],
[
"es",
null
],
[
"fr",
null
],
[
"de",
null
],
[
"zh",
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],
[
"ru",
null
],
[
"pt",
null
],
[
"it",
null
],
[
"ar",
null
],
[
"ja",
null
],
[
"id",
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[
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[
"nl",
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[
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[
"simple",
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],
"model_type": "xlm",
"mono_dataset": {
"af": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/test.af.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.af.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.af.pth"
},
"als": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/test.als.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.als.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.als.pth"
},
"am": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.am.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.am.pth"
},
"an": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.an.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.an.pth"
},
"ang": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.ang.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.ang.pth"
},
"ar": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.ar.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.ar.pth"
},
"arz": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.arz.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.arz.pth"
},
"ast": {
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},
"az": {
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"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.az.pth"
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"bar": {
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},
"be": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.be.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.be.pth"
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"bg": {
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"bn": {
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"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.bn.pth"
},
"br": {
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"bs": {
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"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.bs.pth"
},
"ca": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.ca.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.ca.pth"
},
"ceb": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.ceb.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.ceb.pth"
},
"ckb": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.ckb.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.ckb.pth"
},
"cs": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.cs.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.cs.pth"
},
"cy": {
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"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.cy.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.cy.pth"
},
"da": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/test.da.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.da.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.da.pth"
},
"de": {
"test": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/test.de.pth",
"train": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/train.de.pth",
"valid": "/private/home/aconneau/projects/XLM/data/wiki/100/175k/valid.de.pth"
},
"el": {
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